On the design and tuning of linear model predictive control for wind turbines

Achin Jain, Georg Schildbach, Lorenzo Fagiano and Manfred Morari

Renewable Energy, 2015, vol. 80, issue C, 664-673

Abstract: This paper presents a study on the design of linear model predictive control (MPC) for wind turbines, with a focus on the controller's tuning tradeoffs. A continuously linearized MPC approach is described and applied to control a 3-bladed, horizontal axis, variable speed wind turbine. The tuning involves a multiobjective cost function so that the performance can be optimized with respect to five defined measures: power variation, pitch usage, tower displacement, drivetrain twist and frequency of violating the nominal power limit. A tuning approach based on the computation of sensitivity tables is proposed and tested via numerical simulations using a nonlinear turbine model. The paper further compares the performance of the MPC controller with that of a conventional one.

Keywords: Wind energy; Wind turbines; Model predictive control; Sensitivity analysis; Control system tuning (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:80:y:2015:i:c:p:664-673

DOI: 10.1016/j.renene.2015.02.057

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